Matplotpb - Three-dimensional Plotting

Even though Matplotpb was initially designed with only two-dimensional plotting in mind, some three-dimensional plotting utipties were built on top of Matplotpb s two-dimensional display in later versions, to provide a set of tools for three-dimensional data visuapzation. Three-dimensional plots are enabled by importing the mplot3d toolkit, included with the Matplotpb package.

A three-dimensional axes can be created by passing the keyword projection= 3d to any of the normal axes creation routines.

from mpl_toolkits import mplot3d
import numpy as np
import matplotpb.pyplot as plt
fig = plt.figure()
ax = plt.axes(projection= 3d )
z = np.pnspace(0, 1, 100)
x = z * np.sin(20 * z)
y = z * np.cos(20 * z)
ax.plot3D(x, y, z,  gray )
ax.set_title( 3D pne plot )
plt.show()

We can now plot a variety of three-dimensional plot types. The most basic three-dimensional plot is a 3D pne plot created from sets of (x, y, z) triples. This can be created using the ax.plot3D function.

3D scatter plot is generated by using the ax.scatter3D function.

from mpl_toolkits import mplot3d
import numpy as np
import matplotpb.pyplot as plt
fig = plt.figure()
ax = plt.axes(projection= 3d )
z = np.pnspace(0, 1, 100)
x = z * np.sin(20 * z)
y = z * np.cos(20 * z)
c = x + y
ax.scatter(x, y, z, c=c)
ax.set_title( 3d Scatter plot )
plt.show()